
import os
import re
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowercase    :   List[str]						=			logging.get_logger(__name__)

lowercase    :   List[Any]						=			{'vocab_file': 'spiece.model'}

lowercase    :   Optional[Any]						=			{
    'vocab_file': {
        'google/bigbird-roberta-base': 'https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model',
        'google/bigbird-roberta-large': (
            'https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'
        ),
        'google/bigbird-base-trivia-itc': (
            'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'
        ),
    }
}

lowercase    :   Any						=			{
    'google/bigbird-roberta-base': 4096,
    'google/bigbird-roberta-large': 4096,
    'google/bigbird-base-trivia-itc': 4096,
}




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	_A								=	VOCAB_FILES_NAMES
	_A								=	PRETRAINED_VOCAB_FILES_MAP
	_A								=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_A								=	['input_ids', 'attention_mask']
	_A								=	[]







	def __init__(   self						:str	,  a						:str	,  a						:Tuple="<unk>"	,  a						:int="<s>"	,  a						:str="</s>"	,  a						:List[Any]="<pad>"	,  a						:Tuple="[SEP]"	,  a						:Tuple="[MASK]"	,  a						:List[str]="[CLS]"	,  a						:Optional[Dict[str, Any]] = None	,  **a						:Optional[int]	,  )						->					None:
								__UpperCamelCase      :  int       =   AddedToken(a	,  lstrip=a	,  rstrip=a		) if isinstance(a	,  a		) else bos_token
								__UpperCamelCase      :  List[Any]       =   AddedToken(a	,  lstrip=a	,  rstrip=a		) if isinstance(a	,  a		) else eos_token
								__UpperCamelCase      :  int       =   AddedToken(a	,  lstrip=a	,  rstrip=a		) if isinstance(a	,  a		) else unk_token
								__UpperCamelCase      :  Dict       =   AddedToken(a	,  lstrip=a	,  rstrip=a		) if isinstance(a	,  a		) else pad_token
								__UpperCamelCase      :  int       =   AddedToken(a	,  lstrip=a	,  rstrip=a		) if isinstance(a	,  a		) else cls_token
								__UpperCamelCase      :  List[Any]       =   AddedToken(a	,  lstrip=a	,  rstrip=a		) if isinstance(a	,  a		) else sep_token

								# Mask token behave like a normal word, i.e. include the space before it
								__UpperCamelCase      :  List[str]       =   AddedToken(a	,  lstrip=a	,  rstrip=a		) if isinstance(a	,  a		) else mask_token

								__UpperCamelCase      :  str       =   {} if sp_model_kwargs is None else sp_model_kwargs

								super().__init__(
								    bos_token=a	,  eos_token=a	,  unk_token=a	,  pad_token=a	,  sep_token=a	,  mask_token=a	,  cls_token=a	,  sp_model_kwargs=self.sp_model_kwargs	,  **a	,  )

								__UpperCamelCase      :  List[str]       =   vocab_file

								__UpperCamelCase      :  Optional[int]       =   spm.SentencePieceProcessor(**self.sp_model_kwargs		)
								self.sp_model.Load(a		)







	@property
	def   _lowerCamelCase							(   self						:List[str]		)						->					int:
								return self.sp_model.get_piece_size()







	def   _lowerCamelCase							(   self						:Union[str, Any]		)						->					Any:
								__UpperCamelCase      :  Any       =   {self.convert_ids_to_tokens(a		): i for i in range(self.vocab_size		)}
								vocab.update(self.added_tokens_encoder		)
								return vocab







	def __getstate__(   self						:Optional[Any]		)						->					List[Any]:
								__UpperCamelCase      :  Dict       =   self.__dict__.copy()
								__UpperCamelCase      :  str       =   None
								return state







	def __setstate__(   self						:Any	,  a						:Union[str, Any]		)						->					Optional[Any]:
								__UpperCamelCase      :  Optional[Any]       =   d

								# for backward compatibility
								if not hasattr(self	,  "sp_model_kwargs"		):
															__UpperCamelCase      :  Dict       =   {}

								__UpperCamelCase      :  List[str]       =   spm.SentencePieceProcessor(**self.sp_model_kwargs		)
								self.sp_model.Load(self.vocab_file		)







	def   _lowerCamelCase							(   self						:int	,  a						:str		)						->					List[str]:
								return self.sp_model.encode(a	,  out_type=a		)







	def   _lowerCamelCase							(   self						:Dict	,  a						:List[Any]		)						->					Optional[int]:
								return self.sp_model.piece_to_id(a		)







	def   _lowerCamelCase							(   self						:Optional[Any]	,  a						:str		)						->					Optional[int]:
								__UpperCamelCase      :  str       =   self.sp_model.IdToPiece(a		)
								return token







	def   _lowerCamelCase							(   self						:Union[str, Any]	,  a						:Dict		)						->					Optional[Any]:
								__UpperCamelCase      :  Tuple       =   []
								__UpperCamelCase      :  str       =   ""
								__UpperCamelCase      :  Any       =   False
								for token in tokens:
															# make sure that special tokens are not decoded using sentencepiece model
															if token in self.all_special_tokens:
																						if not prev_is_special:
																													out_string += " "
																						out_string += self.sp_model.decode(a		) + token
																						__UpperCamelCase      :  Optional[int]       =   True
																						__UpperCamelCase      :  str       =   []
															else:
																						current_sub_tokens.append(a		)
																						__UpperCamelCase      :  List[Any]       =   False
								out_string += self.sp_model.decode(a		)
								return out_string.strip()







	def   _lowerCamelCase							(   self						:str	,  a						:List[int]	,  a						:bool = False	,  a						:bool = None	,  a						:bool = True	,  **a						:Tuple	,  )						->					str:
								__UpperCamelCase      :  Dict       =   kwargs.pop("use_source_tokenizer"	,  a		)

								__UpperCamelCase      :  List[str]       =   self.convert_ids_to_tokens(a	,  skip_special_tokens=a		)

								# To avoid mixing byte-level and unicode for byte-level BPT
								# we need to build string separately for added tokens and byte-level tokens
								# cf. https://github.com/huggingface/transformers/issues/1133
								__UpperCamelCase      :  Any       =   []
								__UpperCamelCase      :  Optional[int]       =   []
								for token in filtered_tokens:
															if skip_special_tokens and token in self.all_special_ids:
																						continue
															if token in self.added_tokens_encoder:
																						if current_sub_text:
																													sub_texts.append(self.convert_tokens_to_string(a		)		)
																													__UpperCamelCase      :  Optional[Any]       =   []
																						sub_texts.append(a		)
															else:
																						current_sub_text.append(a		)
								if current_sub_text:
															sub_texts.append(self.convert_tokens_to_string(a		)		)

								# Mimic the behavior of the Rust tokenizer:
								# No space before [MASK] and [SEP]
								if spaces_between_special_tokens:
															__UpperCamelCase      :  Union[str, Any]       =   re.sub(r" (\[(MASK|SEP)\])"	,  r"\1"	,  " ".join(a		)		)
								else:
															__UpperCamelCase      :  int       =   "".join(a		)

								__UpperCamelCase      :  Optional[Any]       =   (
								    clean_up_tokenization_spaces
								    if clean_up_tokenization_spaces is not None
								    else self.clean_up_tokenization_spaces
								)
								if clean_up_tokenization_spaces:
															__UpperCamelCase      :  List[str]       =   self.clean_up_tokenization(a		)
															return clean_text
								else:
															return text







	def   _lowerCamelCase							(   self						:str	,  a						:str	,  a						:Optional[str] = None		)						->					Tuple[str]:
								if not os.path.isdir(a		):
															logger.error(f'Vocabulary path ({save_directory}) should be a directory'		)
															return
								__UpperCamelCase      :  Tuple       =   os.path.join(
								    a	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

								if os.path.abspath(self.vocab_file		) != os.path.abspath(a		) and os.path.isfile(self.vocab_file		):
															copyfile(self.vocab_file	,  a		)
								elif not os.path.isfile(self.vocab_file		):
															with open(a	,  "wb"		) as fi:
																						__UpperCamelCase      :  Optional[Any]       =   self.sp_model.serialized_model_proto()
																						fi.write(a		)

								return (out_vocab_file,)







	def   _lowerCamelCase							(   self						:Any	,  a						:List[int]	,  a						:Optional[List[int]] = None		)						->					List[int]:
								if token_ids_a is None:
															return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								__UpperCamelCase      :  int       =   [self.cls_token_id]
								__UpperCamelCase      :  Optional[int]       =   [self.sep_token_id]
								return cls + token_ids_a + sep + token_ids_a + sep







	def   _lowerCamelCase							(   self						:List[Any]	,  a						:List[int]	,  a						:Optional[List[int]] = None	,  a						:bool = False		)						->					List[int]:
								if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=a	,  token_ids_a=a	,  already_has_special_tokens=a		)

								if token_ids_a is None:
															return [1] + ([0] * len(a		)) + [1]
								return [1] + ([0] * len(a		)) + [1] + ([0] * len(a		)) + [1]







	def   _lowerCamelCase							(   self						:Union[str, Any]	,  a						:List[int]	,  a						:Optional[List[int]] = None		)						->					List[int]:
								__UpperCamelCase      :  Union[str, Any]       =   [self.sep_token_id]
								__UpperCamelCase      :  int       =   [self.cls_token_id]
								if token_ids_a is None:
															return len(cls + token_ids_a + sep		) * [0]
								return len(cls + token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]

import math




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     int)   ->       str:






							'''simple docstring'''





							__UpperCamelCase      :  Union[str, Any]       =   0
							__UpperCamelCase      :  int       =   0
							while num > 0:
														__UpperCamelCase      :  List[Any]       =   num % 8
														__UpperCamelCase      :  Tuple       =   octal + (remainder * math.floor(math.pow(10		,    _lowerCamelCase)))
														counter += 1
														__UpperCamelCase      :  Optional[Any]       =   math.floor(num / 8)  # basically /= 8 without remainder if any
														# This formatting removes trailing '.0' from `octal`.
							return F'0o{int(_lowerCamelCase)}'




def       _SCREAMING_SNAKE_CASE   (						)   ->       None:






							'''simple docstring'''





							print("\n2 in octal is:")
							print(decimal_to_octal(2))  # = 2
							print("\n8 in octal is:")
							print(decimal_to_octal(8))  # = 10
							print("\n65 in octal is:")
							print(decimal_to_octal(65))  # = 101
							print("\n216 in octal is:")
							print(decimal_to_octal(216))  # = 330
							print("\n512 in octal is:")
							print(decimal_to_octal(512))  # = 1000
							print("\n")


if __name__ == "__main__":
		main()